your business uses some types of relational databases. Since the dawn of the
Internet, SQL databases and similar competitors have been dominant forces
within the market. Their familiarity is comfortable, but that doesn’t mean they’re
databases provide some very powerful benefits which you should really consider
taking advantage of. MultiValue databases can be considered an type of “NoSQL”,
in case you aren’t familiar. This means data is organized neatly into objects,
which can contain nested objects. This is much more efficient and logical than
the traditional relational database model.
of MultiValue Databases
programming languages mandate object-oriented code. It’s more sensible to work
with an object-oriented database model alongside this code.
and NoSQL databases are more flexible than relational databases. It is easier
to query the data you need, so developers can focus more on creating new
value-add features than on ETL.
was engineered with high performance and scalability in mind. Queries of a
relational database can take an incredibly long time to execute, especially
when numerous join statements are included in the query. For practical
applications, joins are frequently necessary, since you need to review and
analyze data from multiple perspectives.
object-oriented database structure of MultiValue increases database performance
and can also increase application performance, as you’re less likely to need
additional data transformation code to get the data into your desired format.
database models generally only support one flattened data structure with tables
related to each other. With MultiValue, you can include multiple data
structures, which can be chosen based on the ideal format desired.
data is dynamic because it can be stored in your database in the exact same
format as your application – again, improving performance and simplifying your
is both horizontally and vertically scalable. Growing businesses may frequently
need to capture new information. With MultiValue, this is not a difficult
problem at all. You can even store data with a different structure in the
same collection, whereas in SQL a significant database overhaul is
can become monsters as you try to combine numerous tables and implement complex
query logic. MultiValue querying is significantly streamlined by comparison.
Since the data is stored in such a logical, organized manner, querying is a
breeze. MultiValue queries are generally much shorter than their SQL
MultiValue can accomplish data challenges that are simply impossible in SQL.
You may be
reluctant to use MultiValue since so many applications still rely on SQL.
However we have numerous examples we can share of integrating our ForeMost ERP
solution – which uses a MultiValue database – with traditional relational
We can help
you understand why MultiValue may be the answer to your data challenges. Get in
touch – we’d love to discuss your business needs with you.